2010
DOI: 10.1136/qshc.2008.032144
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System-wide learning from root cause analysis: a report from the New South Wales Root Cause Analysis Review Committee

Abstract: Background Preventable errors are common in healthcare. Over the last decade, Root Cause Analysis (RCA) has become a key tool for healthcare services to investigate adverse events and try to prevent them from happening again. The purpose of this paper is to highlight the work of the New South Wales (NSW) RCA Review Committee. The benefits of correctly classifying, aggregating and disseminating RCA data to clinicians will be discussed. In NSW, we perform an average of 500 RCAs per year. It is estimated that eac… Show more

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Cited by 50 publications
(65 citation statements)
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“…Healthcare organizations in many countries have adopted operational risk management tools such as root cause analysis (RCA) [1][2][3][4][5], failure mode and effects analysis (FMEA) [6][7][8], and -to a lesser extentother such techniques [8][9][10][11][12] to address the systems-level determinants of patient safety. One key feature…”
Section: Introductionmentioning
confidence: 99%
“…Healthcare organizations in many countries have adopted operational risk management tools such as root cause analysis (RCA) [1][2][3][4][5], failure mode and effects analysis (FMEA) [6][7][8], and -to a lesser extentother such techniques [8][9][10][11][12] to address the systems-level determinants of patient safety. One key feature…”
Section: Introductionmentioning
confidence: 99%
“…Many medical facilities have implemented incident-reporting systems to prevent such errors, and details regarding causes of near misses and adverse events are now determined using a root cause analysis (RCA) 5 6. RCA aims to determine not only the types of mistakes made but also the root cause of near misses and adverse events, thereby facilitating improvements in an organisation's activities and preventing reoccurrence of similar events.…”
Section: Introductionmentioning
confidence: 99%
“…8,9 The RCA model is applied across NSW Health to all types of accidents and errors in health care. 10 Anecdotal evidence suggests that the model is not well suited to mental health services, particularly in reviews of suicides and homicides (which account for 90% of all SAC 1 events). The problem is that such incidents do not lend themselves well to identification of a root cause.…”
mentioning
confidence: 99%